New Trends Optimal Filtering by Basin Michael (19 results)

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Paperback. Condition: new. Paperback. 0. 1 Introduction Although the general optimal solution of the ?ltering problem for nonlinear state and observation equations confused with white Gaussian noises is given by the Kushner equation for the conditional density of an unobserved state with respect to obser- tions (see [48] or [41], Theorem 6. 5, formula (6. 79) or [70], Subsection 5. 10. 5, formula (5. 10. 23)), there are a very few known examples of nonlinear systems where the Ku- ner equation can be reduced to a ?nite-dimensional closed system of ?ltering eq- tions for a certain number of lower conditional moments. The most famous result, the Kalman-Bucy ?lter [42], is related to the case of linear state and observation equations, where only two moments, the estimate itself and its variance, form a closed system of ?ltering equations. However, the optimal nonlinear ?nite-dimensional ?lter can be - tained in some other cases, if, for example, the state vector can take only a ?nite number of admissible states [91] or if the observation equation is linear and the drift term in the 2 2 state equation satis?es the Riccati equation df /dx + f = x (see [15]). The complete classi?cation of the general situation cases (this means that there are no special - sumptions on the structure of state and observation equations and the initial conditions), where the optimal nonlinear ?nite-dimensional ?lter exists, is given in [95]. However, the optimal nonlinear ?nite-dimensional ?lter can be - tained in some other cases, if, for example, the state vector can take only a ?nite number of admissible states [91] or if the observation equation is linear and the drift term in the 2 2 state equation satis?es the Riccati equation df /dx + f = x (see [15]). Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Condition: New. This book presents the state-of-the-art in optimal filtering and control for polynomial and time-delay systems. Series: Lecture Notes in Control and Information Sciences. Num Pages: 232 pages, biography. BIC Classification: PBW; TJFM. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 13. Weight in Grams: 367. . 2008. Paperback. . . . .

Condition: New. This book presents the state-of-the-art in optimal filtering and control for polynomial and time-delay systems. Series: Lecture Notes in Control and Information Sciences. Num Pages: 232 pages, biography. BIC Classification: PBW; TJFM. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 13. Weight in Grams: 367. . 2008. Paperback. . . . . Books ship from the US and Ireland.

Taschenbuch. Condition: Neu. Neuware -0. 1 Introduction Although the general optimal solution of the ltering problem for nonlinear state and observation equations confused with white Gaussian noises is given by the Kushner equation for the conditional density of an unobserved state with respect to obser- tions (see [48] or [41], Theorem 6. 5, formula (6. 79) or [70], Subsection 5. 10. 5, formula (5. 10. 23)), there are a very few known examples of nonlinear systems where the Ku- ner equation can be reduced to a nite-dimensional closed system of ltering eq- tions for a certain number of lower conditional moments. The most famous result, the Kalman-Bucy lter [42], is related to the case of linear state and observation equations, where only two moments, the estimate itself and its variance, form a closed system of ltering equations. However, the optimal nonlinear nite-dimensional lter can be - tained in some other cases, if, for example, the state vector can take only a nite number of admissible states [91] or if the observation equation is linear and the drift term in the 2 2 state equation satis es the Riccati equation df /dx + f = x (see [15]). The complete classi cation of the ¿general situation¿ cases (this means that there are no special - sumptions on the structure of state and observation equations and the initial conditions), where the optimal nonlinear nite-dimensional lter exists, is given in [95].Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 236 pp. Englisch.

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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 0. 1 Introduction Although the general optimal solution of the ltering problem for nonlinear state and observation equations confused with white Gaussian noises is given by the Kushner equation for the conditional density of an unobserved state with respect to obser- tions (see [48] or [41], Theorem 6. 5, formula (6. 79) or [70], Subsection 5. 10. 5, formula (5. 10. 23)), there are a very few known examples of nonlinear systems where the Ku- ner equation can be reduced to a nite-dimensional closed system of ltering eq- tions for a certain number of lower conditional moments. The most famous result, the Kalman-Bucy lter [42], is related to the case of linear state and observation equations, where only two moments, the estimate itself and its variance, form a closed system of ltering equations. However, the optimal nonlinear nite-dimensional lter can be - tained in some other cases, if, for example, the state vector can take only a nite number of admissible states [91] or if the observation equation is linear and the drift term in the 2 2 state equation satis es the Riccati equation df /dx + f = x (see [15]). The complete classi cation of the 'general situation' cases (this means that there are no special - sumptions on the structure of state and observation equations and the initial conditions), where the optimal nonlinear nite-dimensional lter exists, is given in [95].

Paperback. Condition: new. Paperback. 0. 1 Introduction Although the general optimal solution of the ?ltering problem for nonlinear state and observation equations confused with white Gaussian noises is given by the Kushner equation for the conditional density of an unobserved state with respect to obser- tions (see [48] or [41], Theorem 6. 5, formula (6. 79) or [70], Subsection 5. 10. 5, formula (5. 10. 23)), there are a very few known examples of nonlinear systems where the Ku- ner equation can be reduced to a ?nite-dimensional closed system of ?ltering eq- tions for a certain number of lower conditional moments. The most famous result, the Kalman-Bucy ?lter [42], is related to the case of linear state and observation equations, where only two moments, the estimate itself and its variance, form a closed system of ?ltering equations. However, the optimal nonlinear ?nite-dimensional ?lter can be - tained in some other cases, if, for example, the state vector can take only a ?nite number of admissible states [91] or if the observation equation is linear and the drift term in the 2 2 state equation satis?es the Riccati equation df /dx + f = x (see [15]). The complete classi?cation of the general situation cases (this means that there are no special - sumptions on the structure of state and observation equations and the initial conditions), where the optimal nonlinear ?nite-dimensional ?lter exists, is given in [95]. However, the optimal nonlinear ?nite-dimensional ?lter can be - tained in some other cases, if, for example, the state vector can take only a ?nite number of admissible states [91] or if the observation equation is linear and the drift term in the 2 2 state equation satis?es the Riccati equation df /dx + f = x (see [15]). Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -0. 1 Introduction Although the general optimal solution of the ltering problem for nonlinear state and observation equations confused with white Gaussian noises is given by the Kushner equation for the conditional density of an unobserved state with respect to obser- tions (see [48] or [41], Theorem 6. 5, formula (6. 79) or [70], Subsection 5. 10. 5, formula (5. 10. 23)), there are a very few known examples of nonlinear systems where the Ku- ner equation can be reduced to a nite-dimensional closed system of ltering eq- tions for a certain number of lower conditional moments. The most famous result, the Kalman-Bucy lter [42], is related to the case of linear state and observation equations, where only two moments, the estimate itself and its variance, form a closed system of ltering equations. However, the optimal nonlinear nite-dimensional lter can be - tained in some other cases, if, for example, the state vector can take only a nite number of admissible states [91] or if the observation equation is linear and the drift term in the 2 2 state equation satis es the Riccati equation df /dx + f = x (see [15]). The complete classi cation of the 'general situation' cases (this means that there are no special - sumptions on the structure of state and observation equations and the initial conditions), where the optimal nonlinear nite-dimensional lter exists, is given in [95]. 236 pp. Englisch.

Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents the state of the art in the area of Optimal Filtering and Control for Polynomial and Time-Delay Systems0. 1 Introduction Although the general optimal solution of the ?ltering problem for nonlinear state and observation equations confused.